Research article Topical Sections

Promoting fruit and vegetable consumption during the COVID-19 pandemic – SportStudisMoveYou (SSMY): A randomized controlled trial

  • Received: 02 May 2022 Revised: 19 July 2022 Accepted: 25 July 2022 Published: 10 October 2022
  • Background 

    The stay-at-home circumstances due to the global coronavirus pandemic have had some negative impacts on people's eating behavior.

    Purpose 

    Therefore, this study attempted to improve fruit and vegetable (FV) consumption intention and behavior through an online video intervention based on the social cognitive theory.

    Methods 

    Participants were recruited with a promotion video posted on social media channels. After consenting and completing a pre-survey, participants were randomly assigned to either a) the intervention group addressing FV consumption or the b) attention control group addressing physical activity. After two weeks, the participants completed an online post-survey.

    Results 

    The participants (N = 82) were 77% female and 50% students; 95% chose German for the survey language, and 84% were from Switzerland. The mean baseline FV consumption intention was 3.05 (standard deviation: 1.03), and FV consumption was 4.64 (standard deviation: 2.06) portions a day. The analysis showed no significant change in FV consumption intention (F = (1, 78) = 0.02, p = 0.88, ηp2 = 0.00) or behavior (F = (1, 78) = 0.019, p = 0.89, ηp2 = 0.03) due to the intervention.

    Conclusions 

    Plausible reasons why no significant effect was found were the brief intervention duration, the setting and insufficient tailoring. The lessons learned from this study are to plan better, tailor more to the needs of participants and carefully consider the goals before promoting an intervention.

    Citation: Joram Weber, Claudio R. Nigg. Promoting fruit and vegetable consumption during the COVID-19 pandemic – SportStudisMoveYou (SSMY): A randomized controlled trial[J]. AIMS Public Health, 2022, 9(4): 690-702. doi: 10.3934/publichealth.2022048

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  • Background 

    The stay-at-home circumstances due to the global coronavirus pandemic have had some negative impacts on people's eating behavior.

    Purpose 

    Therefore, this study attempted to improve fruit and vegetable (FV) consumption intention and behavior through an online video intervention based on the social cognitive theory.

    Methods 

    Participants were recruited with a promotion video posted on social media channels. After consenting and completing a pre-survey, participants were randomly assigned to either a) the intervention group addressing FV consumption or the b) attention control group addressing physical activity. After two weeks, the participants completed an online post-survey.

    Results 

    The participants (N = 82) were 77% female and 50% students; 95% chose German for the survey language, and 84% were from Switzerland. The mean baseline FV consumption intention was 3.05 (standard deviation: 1.03), and FV consumption was 4.64 (standard deviation: 2.06) portions a day. The analysis showed no significant change in FV consumption intention (F = (1, 78) = 0.02, p = 0.88, ηp2 = 0.00) or behavior (F = (1, 78) = 0.019, p = 0.89, ηp2 = 0.03) due to the intervention.

    Conclusions 

    Plausible reasons why no significant effect was found were the brief intervention duration, the setting and insufficient tailoring. The lessons learned from this study are to plan better, tailor more to the needs of participants and carefully consider the goals before promoting an intervention.



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    Acknowledgments



    The authors acknowledge the following individuals for all of their contributions to this project: Aneas Zurkinden, Nando L.; Beck, Damian A.; Bisang, Xaviér J. B.; Charbonnet, Bryan; Dütschler, Benjamin; Felder, Timo M. O.; Ganic, Tarik; Grunder, Lara P.; Gürber, Marc P.; Konyo, Jacqueline; Lehmann, Remo D.; Meierhofer, Anna R.; Schnegg, Sandra; Kubica, Claudia; Vergères, Ludovic G.; Wieland, Fluri; Zimmermann, Patrick; Zuber, Alessia & Zutter, Melina T.

    Conflict of interest



    All authors declare no conflict of interest regarding this study.

    [1] Van Bavel JJ, Baicker K, Boggio PS, et al. (2020) Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav 4: 460-471. https://doi.org/10.1038/s41562-020-0884-z
    [2] Mckibbin W, Fernando R (2020) Crawford School of Public Policy CAMA Centre for Applied Macroeconomic Analysis The Brookings Institution Centre of Excellence in Population Ageing Research The Global Macroeconomic Impacts of COVID-19: Seven Scenarios. SSRN Electr J 2: 12-22. https://doi.org/10.2139/ssrn.3547729
    [3] Hall G, Laddu DR, Phillips SA, et al. (2020) A tale of two pandemics: How will COVID-19 and global trends in physical inactivity and sedentary behavior affect one another?. Prog Cardiovasc Dis 64: 108-110. https://doi.org/10.1016/j.pcad.2020.04.005
    [4] Dauchet L, Amouyel P, Hercberg S, et al. (2006) Fruit and vegetable consumption and risk of coronary heart disease: A meta-analysis of cohort studies. J Nutr 136: 2588-2593. https://doi.org/10.1093/jn/136.10.2588
    [5] Li S, Wang Y, Xue J, et al. (2020) The impact of COVID-19 epidemic declaration on psychological consequences: a study on active Weibo users. Int J Environ Res Public Health 17: 2032. https://doi.org/10.3390/ijerph17062032
    [6] Faber M, Ghisletta A, Schmidheiny K (2020) A lockdown index to assess the economic impact of the coronavirus. Swiss J Econ Stat 156: 1-23. https://doi.org/10.1186/s41937-020-00056-8
    [7] Goldman DS (2020) Initial observations of psychological and behavioral effects of COVID-19 in the United States, using Google trends data. SocArXiv 4: 1-5. https://doi.org/10.31219/osf.io/jecqp
    [8] HUNTER | SlideShare: Food Study Special Report, America Gets Cooking, 2020. Available from: https://www.slideshare.net/HUNTERNY/hunter-food-study-special-report-america-gets-cooking-231713331.
    [9] World Health Organisation: Food and nutrition tips during self-quarantine. Available from: https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/publications-and-technical-guidance/food-and-nutrition-tips-during-self-quarantine.
    [10] Mata J, Wenz A, Rettig T, et al. (2020) Health behaviors and mental health before and during the COVID-19 pandemic: A longitudinal population-based survey. PsyArXiv . https://doi.org/10.31234/osf.io/qbgh7
    [11] Marsh S, Ni Mhurchu C, Maddison R (2013) The non-advertising effects of screen-based sedentary activities on acute eating behaviours in children, adolescents, and young adults. A systematic review. Appetite 71: 259-273. https://doi.org/10.1016/j.appet.2013.08.017
    [12] Ruggiero E, Mignogna C, Costanzo S, et al. (2021) Moli-LOCK Study Investigators. Changes in the consumption of foods characterising the Mediterranean dietary pattern and major correlates during the COVID-19 confinement in Italy: results from two cohort studies. Int J Food Sci Nutr 72: 1105-1117. https://doi.org/10.1080/09637486.2021.1895726
    [13] Navarro-Pérez CF, Fernández-Aparicio Á, González-Jiménez E, et al. (2022) Effects of COVID-19 lockdown on the dietary habits and lifestyle in a population in southern Spain: a cross-sectional questionnaire. Eur J Clin Nutr 76: 883-890. https://doi.org/10.1038/s41430-021-01034-w
    [14] Bonaccio M, Costanzo S, Bracone F, et al. (2022) Psychological distress resulting from the COVID-19 confinement is associated with unhealthy dietary changes in two Italian population-based cohorts. Eur J Nutr 61: 1491-1505. https://doi.org/10.1007/s00394-021-02752-4
    [15] Di Renzo L, Gualtieri P, Pivari F, et al. (2020) Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. J Transl Med 18: 229. https://doi.org/10.1186/s12967-020-02399-5
    [16] Pietrobelli A, Pecoraro L, Ferruzzi A, et al. (2020) Effects of COVID-19 Lockdown on Lifestyle Behaviors in Children with Obesity Living in Verona, Italy: A Longitudinal Study. Obesity 28: 1382-1385. https://doi.org/10.1002/oby.22861
    [17] Rundle AG, Park Y, Herbstman JB, et al. (2020) COVID-19–Related School Closings and Risk of Weight Gain Among Children. Obesity 28: 1008-1009. https://doi.org/10.1002/oby.22813
    [18] Moodie R, Stuckler D, Monteiro C, et al. (2013) Profits and pandemics: Prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. Lancet 381: 670-679. https://doi.org/10.1016/S0140-6736(12)62089-3
    [19] Guh DP, Zhang W, Bansback N, et al. (2009) The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health 9: 88. https://doi.org/10.1186/1471-2458-9-88
    [20] Muraki I, Imamura F, Manson J, et al. (2013) Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ 347: f5001. https://doi.org/10.1136/bmj.f5001
    [21] Carter P, Gray LJ, Troughton J, et al. (2010) Fruit and vegetable intake and incidence of type 2 diabetes mellitus: Systematic review and meta-analysis. BMJ 341: 543. https://doi.org/10.1136/bmj.c4229
    [22] Hamer M, Hypertension Y (2007) Intake of fruit, vegetables, and antioxidants and risk of type 2 diabetes: systematic review and meta-analysis. J Hypertens 25: 2361-2369. https://doi.org/10.1097/HJH.0b013e3282efc214
    [23] Bradbury KE, Appleby PN, Key TJ (2014) Fruit, vegetable, and fiber intake in relation to cancer risk: Findings from the European Prospective Investigation into Cancer and Nutrition (EPIC). Am J Clin Nutr 100: 394S-398S. https://doi.org/10.3945/ajcn.113.071357
    [24] Woodside JV, Young IS, McKinley MC (2013) Fruit and vegetable intake and risk of cardiovascular disease. Proc Nutr Soc 72: 399-406. https://doi.org/10.1017/S0029665113003029
    [25] Steffen LM, Jacobs DR, Stevens J, et al. (2003) Associations of whole-grain, refined-grain, and fruit and vegetable consumption with risks of all-cause mortality and incident coronary artery disease and ischemic stroke: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Clin Nutr 78: 383-390. https://doi.org/10.1093/ajcn/78.3.383
    [26] World Health Organisation: Healthy diet. Available from: https://www.who.int/en/news-room/fact-sheets/detail/healthy-diet.
    [27] Anderson ES, Winett RA, Wojcik JR, et al. (2001) A Computerized Social Cognitive Intervention for Nutrition Behavior: Direct and Mediated Effects on Fat, Fiber, Fruits, and Vegetables, Self-Efficacy, and Outcome Expectations Among Food Shoppers. Ann Behav Med 23: 88-100. https://doi.org/10.1207/S15324796ABM2302_3
    [28] Luszczynska A, Schwarzer R (2005) Social cognitive theory. Predicting Health Behaviour. New York: Open University Press 127-169.
    [29] Wilcox S, Bopp M, Oberrecht L, et al. (2003) Psychosocial and Perceived Environmental Correlates of Physical Activity in Rural and Older African American and White Women. J Gerontol B Psychol Sci Soc Sci 58: 329-337. https://doi.org/10.1093/geronb/58.6.P329
    [30] Anderson ES, Winett RA, Wojcik JR (2007) Self-Regulation, Self-Efficacy, Outcome Expectations, and Social Support: Social Cognitive Theory and Nutrition Behavior. Ann Behav Med 34: 304-312. https://doi.org/10.1007/BF02874555
    [31] Sheeshka JD, Woolcott DM, Mackinnon NJ (1993) Social Cognitive Theory as a Framework to Explain Intentions to Practice Healthy Eating Behaviors. J Appl Soc Psychol 23: 1547-1573. https://doi.org/10.1111/j.1559-1816.1993.tb01047.x
    [32] Resnicow K, Davis-Hearn M, Smith M, et al. (1997) Social-Cognitive Predictors of Fruit and Vegetable Intake in Children. Heal Psychol 16: 272-276. https://doi.org/10.1037/0278-6133.16.3.272
    [33] Hou SI, Charlery SAR, Roberson K (2014) Systematic literature review of Internet interventions across health behaviors. Heal Psychol Behav Med an Open Access J 2: 455-481. https://doi.org/10.1080/21642850.2014.895368
    [34] Prochaska J, Sallis J, Rupp J, et al. (2000) Brief self reported measures for assessing fat, fruit and vegetable and calcium intake with adolescents. Ann Behavior Med 22: 132.
    [35] Bandura A, Walters RH (1977) Social learning theory. Englewood Cliffs, New Jersey: Prentice-Hall.
    [36] Di Renzo L, Gualtieri P, Pivari F, et al. (2020) Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J Transl Med 18: 229. https://doi.org/10.1186/s12967-020-02399-5
    [37] Steffen LM, Jacobs DR, Stevens J, et al. (2003) Associations of whole-grain, refined-grain, and fruit and vegetable consumption with risks of all-cause mortality and incident coronary artery disease and ischemic stroke: The Atherosclerosis Risk in Communities (ARIC) study. Am J Clin Nutr 78: 383-390. https://doi.org/10.1093/ajcn/78.3.383
    [38] Torres SJ, Nowson CA (2007) Relationship between stress, eating behavior, and obesity. Nutrition 23: 887-894. https://doi.org/10.1016/j.nut.2007.08.008
    [39] Mattioli AV, Sciomer S, Maffei S, et al. (2021) Lifestyle and Stress Management in Women During COVID-19 Pandemic: Impact on Cardiovascular Risk Burden. Am J Lifestyle Med 5: 356-359. https://doi:10.1177/1559827620981014
    [40] Nigg CR, Paxton R (2008) Conceptual perspectives used to understand youth physical activity and inactivity. Youth Physical Activity and Inactivity: Challenges and Solutions. Champaign, IL: Human Kinetics 79-113.
    [41] Wantland DJ, Portillo CJ, Holzemer WL, et al. (2004) The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res 6. https://doi.org/10.2196/jmir.6.4.e40
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